Spontaneous combustion of coal is a complex underground mining disaster, which mainly threats mine safety and efficiency. Several factors usually cause spontaneous combustion of coal, such as gas concentration, ventilation and coal properties. In this study, spontaneous combustion tendencies of coal mines were predicted considering the effective parameters for an underground coal mine in Turkey. Multinomial logistic regression, a multivariate statistical technique, was applied. Gas concentrations (CH₄, CO, O₂) and air velocity were defined as factors affecting spontaneous coal combustion. Fire hazard levels of the coal mines were determined as ‘normal situation’ and ‘potential combustion’. It was observed that CH₄ and CO variables and CH₄ × CO interaction were effective in the formation of clusters. The results indicate that Mine I is more liable to spontaneous combustion than Mine II and Mine III. At the same time, the effects of variations in factors are examined in the study.

煤炭自燃是一种复杂的井下开采灾害，主要威胁矿山安全和效益。通常有几个因素会导致煤的自燃，例如瓦斯浓度、通风和煤的性质。在这项研究中，考虑到土耳其地下煤矿的有效参数，预测了煤矿的自燃趋势。应用了多项逻辑回归，一种多元统计技术。气体浓度（CH ₄、CO、O ₂）和空气速度被定义为影响煤自燃的因素。煤矿的火灾危险等级被确定为“正常情况”和“潜在燃烧”。据观察，CH ₄和 CO 变量和 CH ₄ × CO 相互作用在簇的形成中是有效的。结果表明，Mine I 比 Mine II 和 Mine III 更容易自燃。同时，在研究中检查了因素变化的影响。